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    AncDE with gaussian distribution for numerical optimization problem


    Mohd Salleh, Siti Khadijah, Azirah Asmai, Siti, Abal Abas, Zuraida, Shibghatullah, Abdul Samad and O'Donoghue, Diarmuid (2019) AncDE with gaussian distribution for numerical optimization problem. International Journal of Advances in Intelligent Informatics, 5 (1). pp. 48-57. ISSN 2442-6571

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    Abstract

    This work is introducing an enhanced Differential Evolution (DE) called AncDE. This proposed algorithm is using an additional population from the current generation and located it as ancestor. There are two parameter controllers to manage the selection of ancestor vector; aup for selection frequency and arp for age of selection. In this work we were applying Gaussian distribution on aup and we tested it on CEC 2015 Numerical Optimization Problem. Standard Differential Evolution will act as the benchmark. The result shows that AncDE with Gaussian approach has produced better result than standard DE.
    Item Type: Article
    Additional Information: This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License https://creativecommons.org/licenses/by-sa/4.0/ Cite as: MOHD SALLEH, Siti Khadijah et al. AncDE with gaussian distribution for numerical optimization problem. International Journal of Advances in Intelligent Informatics, [S.l.], v. 5, n. 1, p. 48-57, feb. 2019. ISSN 2548-3161. Available at: <http://ijain.org/index.php/IJAIN/article/view/258>. Date accessed: 04 nov. 2020. doi:https://doi.org/10.26555/ijain.v5i1.258.
    Keywords: differential evolution; mutation; ancestor vector; parameter controller; Gaussian distribution;
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Item ID: 13486
    Identification Number: 10.26555/ijain.v5i1.258
    Depositing User: Dr. Diarmuid O'Donoghue
    Date Deposited: 04 Nov 2020 16:23
    Journal or Publication Title: International Journal of Advances in Intelligent Informatics
    Refereed: Yes
    Related URLs:
    URI: https://mural.maynoothuniversity.ie/id/eprint/13486
    Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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